Fathurrahman, Muhammad Arthur (2024) Pola Adopsi Kendaraan Listrik Roda Empat (E4V) Berdasarkan Data Implementasi Antarnegara: Studi Model Bass Dan Analisis Faktor-Faktor Yang Mempengaruhi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Banyak negara bertransisi ke kendaraan listrik roda empat (E4V) sejak 2010 untuk mendukung Paris Agreement 2015. Penelitian ini menggunakan Model Difusi Bass untuk menganalisis variasi pola adopsi E4V antar negara dengan estimasi parameter koefisien inovasi (p) dan imitasi (q) menggunakan Nonlinear Least Squares (NLS). Analisis menemukan pola adopsi global E4V menyerupai produk transportasi berbasis ICE, hybrid, dan diesel, dengan nilai p sebesar 0,093% dan q sebesar 21,496%. Pola adopsi antar negara diklasifikasikan menjadi empat kelompok: Influence-Driven Adopters (IDA), Community-Driven Adopters (CDA), Innovator-Led Adopters (ILA), dan Balanced-Adopters (BA). Regresi data panel menunjukkan variabel regulasi seperti pembebasan pajak, insentif produsen, infrastruktur pengecasan, dan durasi masuknya E4V signifikan memengaruhi adopsi. Faktor makroekonomi seperti tingkat inflasi dan pengangguran juga berperan penting. Skenario regulasi penuh meningkatkan adopsi hingga 85% dan mengubah pola dari IDA ke BA, sementara penghentian regulasi menurunkan adopsi 21% dan menggeser pola ke CDA. Penelitian ini menyarankan pendekatan berbasis pola adopsi untuk mempercepat penetrasi E4V.
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Many countries transitioned to electric four-wheel vehicles (E4V) since 2010 to support the 2015 Paris Agreement. This study uses the Bass Diffusion Model to analyze variations in E4V adoption patterns between countries with parameter estimation of innovation (p) and imitation (q) coefficients using Nonlinear Least Squares (NLS). The analysis found that the global adoption pattern of E4V resembles ICE, hybrid, and diesel-based transportation products, with a p value of 0.093% and q of 21.496%. The adoption patterns between countries were classified into four groups: Influence-Driven Adopters (IDA), Community-Driven Adopters (CDA), Innovator-Led Adopters (ILA), and Balanced-Adopters (BA). Panel data regression shows that regulatory variables such as tax exemptions, manufacturer incentives, charging infrastructure, and duration of E4V entry significantly affect adoption. Macroeconomic factors such as inflation and unemployment rates also play an important role. A full regulation scenario can increase adoption by 85% and shift the adoption pattern from IDA to BA, while de-regulation can decrease adoption by 21% and shift the pattern to CDA. This study suggests an adoption pattern-based approach to accelerate E4V penetration.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Electric Four Vehicle (E4V), Model Difusi Bass, Hierarchical Clustering, Analisis Data Panel, Regulasi E4V, Pola Adopsi E4V Global, Bass Diffusion Model, Hierarchical Clustering, Panel Data Analysis, E4V Regulation, E4V Global Adoption Pattern |
| Subjects: | T Technology > T Technology (General) > T174 Technological forecasting |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Arthur Fathurrahman |
| Date Deposited: | 20 Dec 2024 07:45 |
| Last Modified: | 20 Dec 2024 07:47 |
| URI: | http://repository.its.ac.id/id/eprint/116024 |
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